1c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath#include <iostream> 2c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath#include <Eigen/Dense> 3c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath 4c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathusing namespace std; 5c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathint main() 6c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath{ 7c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath Eigen::MatrixXf mat(2,4); 8c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath mat << 1, 2, 6, 9, 9c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath 3, 1, 7, 2; 10c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath 11c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath std::cout << "Column's maximum: " << std::endl 12c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath << mat.colwise().maxCoeff() << std::endl; 13c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath} 14